Amazon.com Services LLC
Technology
SrSoftwareEngineer,AWSAppliedAISolution–CoreServices
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr Software Engineer, AWS Applied AI Solution – Core Services at Amazon.com Services LLC. Skills: AI agents, AI building blocks, Core Services, Agent identity, Agent collaboration, Agent evaluation, Knowledge management. Own technical architecture. Own strategy for AI agent capability”
What You'll Achieve.
Accelerate customers' businesses; Solve enduring business challenges; Build opinionated solutions; Build easy to use solutions; Define future of AI agents; Shape how businesses leverage AI; Create foundational building blocks; Power next generation AI agents; Standardize AI product delivery; Influence how AWS builds AI products; Make your mark
Industry & Context.
Tackle ambiguous problems; Eliminate non-differentiating work; Simplify complex challenges; Root cause analysis
What They're Looking For.
Must Have
5+ years of leading design or architecture, Experience as a mentor, Experience as a tech lead, Experience leading an engineering team, Experience with full software development life cycle, Experience designing and implementing AI/ML systems, Experience working with LLMs, Experience with prompt engineering, Experience with retrieval augmented generation (RAG), Experience with fine-tuning, Experience with AI agent development, Proven track record building distributed systems, Experience with well-designed APIs, Demonstrated ability to create reusable software components, Experience with clean interfaces, Working knowledge of AWS AI/ML services, Working knowledge of Amazon Bedrock, Working knowledge of SageMaker, Working knowledge of related infrastructure, Successful history of cross-organizational collaboration, Experience driving technical convergence, Experience maintaining delivery velocity
Nice to Have
10+ years of full software development life cycle, Experience designing and implementing evaluation systems, Experience measuring AI system performance, Experience with metrics, Experience with testing methodologies, Experience building hierarchical memory/storage systems, Experience with schema design for storing context, Experience with schema design for retrieving context, Experience with memory reuse, Experience developing tools that manage prompts, Experience developing frameworks that manage prompts
What You'll Do.
Own technical architecture
Own strategy for AI agent capability
Set foundation for AI solutions
Lead projects requiring multiple engineers
Balance business goals with technical excellence
Navigate ambiguous problem spaces
Research AI technologies
Evaluate AI technologies
Integrate AI technologies
Make decisions about build vs. leverage
Design reusable AI components
Implement reusable AI components
Meet enterprise-grade quality standards
Simplify complex technical challenges
Drive consensus across teams
Create unified AI building blocks
Champion engineering best practices
Establish culture of robust software development
Mentor other engineers
Coach other engineers
Create environment where team thrives
Communicate complex technical designs
Provide requirement inputs
Provide internal customer inputs
Research AI agent techniques
Design reusable building blocks
Design scalable building blocks
Leverage coding agents
Lead technical design review
Gather diverse perspectives
Meet with internal customers
Understand AI agent needs
Present vision to leadership
How You'll Work.
Team & Collaboration
Collaborative sessions; Cross-organizational collaboration; Cross-functional teams; Diverse audiences
Communication Scope
Communicate technical designs; Present vision
Process & Methodology
Roadmap definition
Full Job Description
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Lead our pioneering AI initiative at AWS and define the future of AI agents. Shape how businesses leverage artificial intelligence by creating foundational building blocks used across AWS business applications. The Core Services team within AWS Applied AI Solutions is creating the foundations that will power the next generation of AI agents from small business to enterprise scale. As a technical leader, you'll lead our new agentic AI building blocks initiative, pioneering the development of reusable AI components that accelerate and standardize AI product delivery across AWS business applications such as contact center, supply chain, healthcare and life sciences. You'll own one critical capability area such as agent identity and governance, agent collaboration & orchestration, agent evaluation, or knowledge management, and have the privilege to define what we build and how we build it. This role combines the excitement of a startup environment with the scale of AWS. You'll research state-of-the-art open source and internal tools, tackle highly ambiguous problems, and lead a team building a V1 product from the ground up. You won't just be implementing someone else's vision — you'll chart the course, define the roadmap, and create solutions that eliminate non-differentiating work while ensuring enterprise-grade quality and
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